Details
| Original language | English |
|---|---|
| Pages (from-to) | 2218-2232 |
| Number of pages | 15 |
| Journal | Journal of water and health |
| Volume | 22 |
| Issue number | 11 |
| Early online date | 23 Oct 2024 |
| Publication status | Published - 1 Nov 2024 |
Abstract
Wastewater treatment plant (WWTP) influent sampling is commonly used in wastewater-based disease surveillance to assess the circulation of pathogens in the population aggregated in a catchment area. However, the signal can be lost within the sewer network due to adsorption, degradation, and dilution processes. The present work aimed to investigate the dynamics of SARS-CoV-2 concentration in three sub-catchments of the sewer system in the city of Hildesheim, Germany, characterised by different levels of urbanisation and presence/absence of industry, and to evaluate the benefit of sub-catchment sampling compared to WWTP influent sampling. Our study shows that sampling and analysis of virus concentrations in sub-catchments with particular settlement structures allows the identification of high concentrations of the virus at a local level in the wastewater, which are lower in samples collected at the inlet of the treatment plant covering the whole catchment. Higher virus concentrations per inhabitant were found in the sub-catchments in comparison to the inlet of the WWTP. Additionally, sewer sampling provides spatially resolved concentrations of SARS-CoV-2 in the catchment area, which is important for detecting local high incidences of COVID-19.
Keywords
- digital droplet PCR, SARS-CoV-2, sewer system sampling, wastewater-based disease surveillance
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
- Environmental Science(all)
- Waste Management and Disposal
- Medicine(all)
- Public Health, Environmental and Occupational Health
- Medicine(all)
- Microbiology (medical)
- Medicine(all)
- Infectious Diseases
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In: Journal of water and health, Vol. 22, No. 11, 01.11.2024, p. 2218-2232.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Sewer system sampling for wastewater-based disease surveillance
T2 - Is the work worth it?
AU - Düker, Urda
AU - Nogueira, Regina
AU - Carpio-Vallejo, Estefania
AU - Joost, Ingeborg
AU - Hüppe, Katharina
AU - Suchenwirth, Roland
AU - Saathoff, Yvonne
AU - Wallner, Markus
N1 - Publisher Copyright: © 2024 The Authors.
PY - 2024/11/1
Y1 - 2024/11/1
N2 - Wastewater treatment plant (WWTP) influent sampling is commonly used in wastewater-based disease surveillance to assess the circulation of pathogens in the population aggregated in a catchment area. However, the signal can be lost within the sewer network due to adsorption, degradation, and dilution processes. The present work aimed to investigate the dynamics of SARS-CoV-2 concentration in three sub-catchments of the sewer system in the city of Hildesheim, Germany, characterised by different levels of urbanisation and presence/absence of industry, and to evaluate the benefit of sub-catchment sampling compared to WWTP influent sampling. Our study shows that sampling and analysis of virus concentrations in sub-catchments with particular settlement structures allows the identification of high concentrations of the virus at a local level in the wastewater, which are lower in samples collected at the inlet of the treatment plant covering the whole catchment. Higher virus concentrations per inhabitant were found in the sub-catchments in comparison to the inlet of the WWTP. Additionally, sewer sampling provides spatially resolved concentrations of SARS-CoV-2 in the catchment area, which is important for detecting local high incidences of COVID-19.
AB - Wastewater treatment plant (WWTP) influent sampling is commonly used in wastewater-based disease surveillance to assess the circulation of pathogens in the population aggregated in a catchment area. However, the signal can be lost within the sewer network due to adsorption, degradation, and dilution processes. The present work aimed to investigate the dynamics of SARS-CoV-2 concentration in three sub-catchments of the sewer system in the city of Hildesheim, Germany, characterised by different levels of urbanisation and presence/absence of industry, and to evaluate the benefit of sub-catchment sampling compared to WWTP influent sampling. Our study shows that sampling and analysis of virus concentrations in sub-catchments with particular settlement structures allows the identification of high concentrations of the virus at a local level in the wastewater, which are lower in samples collected at the inlet of the treatment plant covering the whole catchment. Higher virus concentrations per inhabitant were found in the sub-catchments in comparison to the inlet of the WWTP. Additionally, sewer sampling provides spatially resolved concentrations of SARS-CoV-2 in the catchment area, which is important for detecting local high incidences of COVID-19.
KW - digital droplet PCR
KW - SARS-CoV-2
KW - sewer system sampling
KW - wastewater-based disease surveillance
UR - http://www.scopus.com/inward/record.url?scp=85210967715&partnerID=8YFLogxK
U2 - 10.2166/wh.2024.301
DO - 10.2166/wh.2024.301
M3 - Article
C2 - 39611680
AN - SCOPUS:85210967715
VL - 22
SP - 2218
EP - 2232
JO - Journal of water and health
JF - Journal of water and health
SN - 1477-8920
IS - 11
ER -